Literature DB >> 20060005

The limiting conditional probability distribution in a stochastic model of T cell repertoire maintenance.

Emily R Stirk1, Grant Lythe, Hugo A van den Berg, Gareth A D Hurst, Carmen Molina-París.   

Abstract

The limiting conditional probability distribution (LCD) has been much studied in the field of mathematical biology, particularly in the context of epidemiology and the persistence of epidemics. However, it has not yet been applied to the immune system. One of the characteristic features of the T cell repertoire is its diversity. This diversity declines in old age, whence the concepts of extinction and persistence are also relevant to the immune system. In this paper we model T cell repertoire maintenance by means of a continuous-time birth and death process on the positive integers, where the origin is an absorbing state. We show that eventual extinction is guaranteed. The late-time behaviour of the process before extinction takes place is modelled by the LCD, which we prove always exists for the process studied here. In most cases, analytic expressions for the LCD cannot be computed but the probability distribution may be approximated by means of the stationary probability distributions of two related processes. We show how these approximations are related to the LCD of the original process and use them to study the LCD in two special cases. We also make use of the large N expansion to derive a further approximation to the LCD. The accuracy of the various approximations is then analysed. (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20060005     DOI: 10.1016/j.mbs.2009.12.004

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  7 in total

1.  Mathematical Model of Naive T Cell Division and Survival IL-7 Thresholds.

Authors:  Joseph Reynolds; Mark Coles; Grant Lythe; Carmen Molina-París
Journal:  Front Immunol       Date:  2013-12-23       Impact factor: 7.561

2.  Assessing T cell clonal size distribution: a non-parametric approach.

Authors:  Olesya V Bolkhovskaya; Daniil Yu Zorin; Mikhail V Ivanchenko
Journal:  PLoS One       Date:  2014-10-02       Impact factor: 3.240

3.  Stochastic descriptors to study the fate and potential of naive T cell clonotypes in the periphery.

Authors:  J R Artalejo; A Gómez-Corral; M López-García; C Molina-París
Journal:  J Math Biol       Date:  2016-06-27       Impact factor: 2.259

4.  Quantifying the Role of Stochasticity in the Development of Autoimmune Disease.

Authors:  Lindsay B Nicholson; Konstantin B Blyuss; Farzad Fatehi
Journal:  Cells       Date:  2020-04-02       Impact factor: 6.600

5.  How many TCR clonotypes does a body maintain?

Authors:  Grant Lythe; Robin E Callard; Rollo L Hoare; Carmen Molina-París
Journal:  J Theor Biol       Date:  2015-11-07       Impact factor: 2.691

6.  Stochastic Effects in Autoimmune Dynamics.

Authors:  Farzad Fatehi; Sergey N Kyrychko; Aleksandra Ross; Yuliya N Kyrychko; Konstantin B Blyuss
Journal:  Front Physiol       Date:  2018-02-02       Impact factor: 4.566

Review 7.  Quantifying T Cell Cross-Reactivity: Influenza and Coronaviruses.

Authors:  Jessica Ann Gaevert; Daniel Luque Duque; Grant Lythe; Carmen Molina-París; Paul Glyndwr Thomas
Journal:  Viruses       Date:  2021-09-07       Impact factor: 5.048

  7 in total

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